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Academic Job Opportunities

Statistics Graders and Tutors

Applications are invited for Graders and Tutors in the Department of Statistics at the University of Washington.

These are hourly appointments open to both undergraduate and graduate students. Appointments are made on a quarterly basis. Current pay rates can be found here.

Graders provide diverse services as course assistants. Duties typically include grading student papers and examinations, consultation with instructors and other duties as assigned.

Tutors provide support and guidance to further undergraduate Statistical education in all introductory Statistics courses. For more information on this program, please visit this page.

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Research Papers

Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court

Rayleigh Lei, Abel Rodriguez

Published 5/30/2023

Latent factor models are widely used in the social and behavioral science as scaling tools to map discrete multivariate outcomes into low dimensional, continuous scales. In political science, dynamic versions of classical factor models have been widely used to study the evolution of justice's preferences in multi-judge courts. In this paper, we discuss a new dynamic…

The Role of Scaling and Estimating the Degree Ratio in the Network Scale-up Method

Ian Laga, Jessica P. Kunke, Tyler H. McCormick, Xiaoyue Niu

Published 5/7/2023

The Network Scale-up Method (NSUM) uses social networks and answers to "How many X's do you know?" questions to estimate hard-to-reach population sizes. This paper focuses on two biases associated with the NSUM. First, different populations are known to have different average social network sizes, introducing degree ratio bias. This is…

Tensor Recovery in High-Dimensional Ising Models

Tianyu Liu, Somabha Mukherjee, Rahul Biswas

Published 4/2/2023

The $k$-tensor Ising model is an exponential family on a $p$-dimensional binary hypercube for modeling dependent binary data, where the sufficient statistic consists of all $k$-fold products of the observations, and the parameter is an unknown $k$-fold tensor, designed to capture higher-order interactions between the binary variables. In this paper, we…

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Academic Job Opportunities

Statistics Graders and Tutors

Research Papers

Dynamic Factor Models for Binary Data in Circular Spaces: An Application to the U.S. Supreme Court

The Role of Scaling and Estimating the Degree Ratio in the Network Scale-up Method

Tensor Recovery in High-Dimensional Ising Models

Recent News

Perkovic receives Dorothy Gilford Early Career Endowed Professorship in Mathematical Statistics

Undergraduate Newsletter for Spring 2023

Thompson Elected Fellow of the Royal Society (UK)